Bayes' theorem

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Related lectures (30)

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Sampling: maximum likelihood estimation

Explores sampling in maximum likelihood estimation and its implications on the joint probability and likelihood contribution.

Generalized Bayes Theorem: Vaccines and Population Probability

Explores the Generalized Bayes Theorem with three vaccines and population probabilities.

Lexicons, n-grams and Language Models

Explores lexicons, n-grams, and language models, emphasizing their importance in recognizing words and the effectiveness of n-grams for various tasks.

Bayesian Decision Theory: Utility, Risk, and Classification

Covers Bayesian decision theory, cost functions, classification, and decision rules.

Bayes Risk and Generalization in Machine Learning

Explores Bayes risk, generalization, error rates, and interpolation methods in machine learning.

Elements of Statistics

Introduces key statistical concepts through practical exercises and MATLAB applications.

Advanced Probability: Bayes' Theorem and Random Variables

Covers advanced probability concepts, including Bayes' Theorem and Random Variables.

Conditional Probability: Prediction Decomposition

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Decision Theory: Risk and Inference

Explores decision theory, risk functions, and inference in statistical analysis.

Probability Theory: Basics and Applications

Covers the fundamental concepts of probability theory and random variables.